FROM SYSTEM MODELING TO SYSTEM ANALYSIS: THE IMPACT OF RESOLUTION LEVEL AND RESOLUTION DISTRIBUTION IN THE COMPUTER-AIDED INVESTIGATION OF BIOMOLECULES

The ever increasing computer power, together with the improved accuracy of atomistic force fields, enables researchers to investigate biological systems at the molecular level with remarkable detail.However, the relevant length and time scales of many processes of interest are still hardly within reach even for state-of-the-art hardware, thus leavi

Since the implementation of China’s afforestation and conservation projects during recent decades, an increasing number of studies have reported greening trends in the karst regions of southwest China using coarse-resolution satellite imagery, but small-scale changes in the heterogenous landscapes remain largely unknown.Focusing on two typica

Underwater simultaneous localization and mapping (SLAM) poses significant challenges for modern visual SLAM systems.The integration of deep learning networks within computer vision offers promising potential for addressing these difficulties.Our research draws inspiration from deep learning approaches applied to interest point detection and matchin

Tibetan (TB) and Bama (BM) miniature pigs are two popular pig hfcs1lp breeds that are used as experimental animals in China due to their small body size.Here, we analyzed single-nucleotide polymorphisms (SNPs) in gene fragments that are closely related to growth traits [growth hormone (GH), growth hormone receptor (GHR), and insulin-like growth fac